A proposal for patient-tailored supervision of movement performance during end-effector-based robot-assisted rehabilitation of the upper extremities
-
Michael Hennes
,
Kai Bollue
Abstract
Millions of people worldwide suffer from stroke each year. One way to assist patients cost-effectively during their rehabilitation process is using end-effector-based robot-assisted rehabilitation. Such systems allow patients to use their own movement strategies to perform a movement task, which encourages them to do self-motivated training but also allow compensation movements if they have problems executing the movement tasks. Therefore, a patient supervision system was developed on the basis of inertial measurement units and a patient-tailored movement interpretation system. Very light and small inertial measurement units were developed to record the patients’ movements during a teaching phase in which the desired movement is shown to the patient by a physiotherapist. During a following exercise phase, the patient is training the previously shown movement alone with the help of an end-effector-based robot-assisted rehabilitation system, and the patient’s movement is recorded again. The data from the teaching and exercise phases are compared with each other and evaluated by using fuzzy logic tailored to each patient. Experimental tests with one healthy subject and one stroke patient showed the capability of the system to supervise patient movements during the robot-assisted end-effector-based rehabilitation.
Acknowledgments
The authors gratefully acknowledge the support of the KUKA Laboratories, Augsburg, Germany.
References
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©2015 by De Gruyter
Artikel in diesem Heft
- Frontmatter
- Editorial
- Technically assisted rehabilitation – approaches for the upper extremity
- Special issue articles
- Computational models of upper-limb motion during functional reaching tasks for application in FES-based stroke rehabilitation
- A proposal for patient-tailored supervision of movement performance during end-effector-based robot-assisted rehabilitation of the upper extremities
- An EEG/EOG-based hybrid brain-neural computer interaction (BNCI) system to control an exoskeleton for the paralyzed hand
- A surface EMG test tool to measure proportional prosthetic control
- Research articles
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Artikel in diesem Heft
- Frontmatter
- Editorial
- Technically assisted rehabilitation – approaches for the upper extremity
- Special issue articles
- Computational models of upper-limb motion during functional reaching tasks for application in FES-based stroke rehabilitation
- A proposal for patient-tailored supervision of movement performance during end-effector-based robot-assisted rehabilitation of the upper extremities
- An EEG/EOG-based hybrid brain-neural computer interaction (BNCI) system to control an exoskeleton for the paralyzed hand
- A surface EMG test tool to measure proportional prosthetic control
- Research articles
- Adhesion of human mesenchymal stem cells can be controlled by electron beam-microstructured titanium alloy surfaces during osteogenic differentiation
- Bionic approach for the prevention of exit-site infections of percutaneous devices
- Segmented independent component analysis for improved separation of fetal cardiac signals from nonstationary fetal magnetocardiograms
- Fuzzy decision tree to classify complex fractionated atrial electrograms
- Short communications
- A method for stereoscopic strain analysis of the right ventricle by digital image correlation during coronary bypass surgery: short communication
- Quantitative biomechanical comparison of ankle fracture casting methods
